Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
In this episode of the Practical AI podcast, Daniel Whitenack and Chris Benson interview Chong Shen Ng, a research engineer at Flower Labs, about federated learning and the Flower framework. Chong discusses his background in computational physics and how he transitioned to federated learning, highlighting its importanc...
In this episode of the Practical AI podcast, Daniel Whitenack and Chris Benson interview Patrick Foley, lead AI architect at Intel, about federated learning. Foley explains federated learning as a technique where models are sent to decentralized data sources for training, addressing privacy and data size concerns. He d...
This episode explores the integration of AI in email and productivity tools, focusing on Superhuman's experiences as an early adopter in the space. Against the backdrop of rapidly advancing AI technology, the discussion highlights the shift from simply making email faster to making it smarter, raising user expectations...
This episode explores the Model Context Protocol (MCP) and its potential to standardize the integration of AI models with external tools, resources, and prompts. Against the backdrop of increasing adoption of Retrieval-Augmented Generation (RAG) and automated workflows, the discussion highlights the need for a common p...
This episode explores the intersection of neuroimaging (like MRI, CT, and PET scans) and machine learning in medical diagnosis and treatment. Against the backdrop of the historical development of neuroimaging techniques, the discussion highlights the increasing volume of data requiring more efficient analysis methods....
This episode explores the impact of AI on coding workflows, focusing on the rise of "vibe coding" tools and their effects on code quality and developer productivity. Against this backdrop, the hosts interview Robert Brennan and Graham Neubig, co-founder and CEO, and co-founder and chief scientist of All Hands AI, resp...
This episode explores the landscape of Generative AI orchestration, focusing on EPAM Systems' open-source platform, DIAL. Against the backdrop of rapidly evolving AI capabilities, the discussion introduces EPAM, a global professional services organization leveraging AI internally and for clients. More significantly, ...
This episode explores the Groq AI inference platform, focusing on its unique software-first approach to hardware design and its implications for speed and accuracy in AI applications. Against the backdrop of traditional GPU-based inference, Groq's compiler-centric architecture is highlighted, emphasizing its determini...
This episode of the Practical AI podcast interviews Kyle Daigle, GitHub's COO, about the current state and future of AI code assistance. The discussion covers the evolution of AI code assistants from simple code completion tools to more sophisticated agents capable of understanding and responding to complex developmen...
This Practical AI podcast episode interviews Kate Soule, Director of Technical Product Management at Granite for IBM, about IBM's family of large language models (LLMs). The discussion covers IBM's decision to open-source Granite under the Apache 2 license, the rationale behind developing different sized models (1B to...
This podcast episode interviews Scott Meyer, founder and CEO of Chip, a company building low-code/no-code AI assistant builders. The discussion explores the current landscape of AI tools, categorizing them as horizontal (multi-purpose) or vertical (specialized), and open or closed source. Meyer emphasizes overcoming ...
This Practical AI podcast episode discusses five unsuitable applications for generative AI (GenAI). The hosts, Daniel and Chris, debate the limitations of fully autonomous GenAI agents, highlighting their unreliability and the need for human oversight, especially in high-stakes situations. They also caution against u...
This episode of the Practical AI podcast discusses the current dynamics in the AI industry, focusing on the potential acquisition of OpenAI by Elon Musk and the broader implications for the future of AI business models. The hosts debate the significance of this potential acquisition, exploring the competitive landscap...
This co-hosted podcast episode of Practical AI focuses on DeepSeek R1, a large language model (LLM) from a Chinese startup. The hosts discuss the model's surprisingly low training cost (around $5-6 million), its performance comparable to OpenAI's models, and the ensuing debate about its implications. They analyze the ...
This interview podcast episode of Practical AI focuses on the advancements and challenges in video generation AI. The hosts discuss the evolution of video generation models, from early GANs to the current state-of-the-art diffusion models like OpenAI's Sora. The guest, Paras Jain, CEO of Genmo, details the complexiti...
In this episode of the Practical AI podcast, host Jeff Smith, founder and CEO of CHRP, discusses how his company integrates AI and music to assess employee well-being. CHRP uses users' music listening habits to subtly gauge their emotional states, providing valuable insights for both individuals and organizations. By a...
In this episode of the Practical AI podcast, Shopify's Mike Tamir and Mike Colyer explore the company's innovative use of AI. Shopify adopts a hands-on approach, experimenting with both open-source and commercial AI technologies while carefully assessing their effectiveness for a diverse range of customers. They've int...
In this episode of the Practical AI podcast, Alexandre De Fussey, co-founder of the non-profit AI lab Kyutai, shares insights about their innovative open-source speech model, Moshi. The conversation highlights Kyutai's distinctive role in the French AI landscape, the challenges and breakthroughs in developing a full-du...
In this episode of the Practical AI podcast, the hosts dive into a variety of intriguing topics within the AI landscape. They discuss the creative use of AI in Coca-Cola's Christmas ads and consider how a potential second Trump administration might reshape AI policy, including the possible repeal of the Biden AI execut...
This podcast dives into various topics surrounding AI and open-source software. In the first segment, we explore Timescale, a Postgres company that offers tools for developing AI applications using open-source technologies like PGAI and PGVectorScale. Next, we hear from the leadership at Probable, a company dedicated t...
Follow this podcast in Podwise
Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.
